Fraud & Risk Analyst
Há 4 dias
Cornershop by Uber is an app that enables, through technology, home delivery services and free time, as your orders from supermarkets and specialty stores are delivered to your home or wherever you prefer. We are a fast-growing company that operates in Chile, Brazil, Peru, Colombia, Mexico, Costa Rica, USA, and Canada. Since our acquisition by Uber we continue to grow. Relaunched under our new brand Cornershop by Uber, our team has grown from a little avocado tree to a beautiful avocado tree, we want it to get even bigger. So, if you want to work in an innovative environment, with a startup culture, people who love uncle jokes and are "good vibes", your place is with us Cornershop é um aplicativo de entrega de compras de mercado e lojas especializadas sob demanda. Nós entregamos na sua casa ou onde quiser, inclusive no rolê. Você tem vontade de trabalhar numa startup de alto crescimento? Bem, a Cornershop é uma das que cresce mais rápido em toda América Latina. Nós já entregamos milhões de abacates no Chile, pimentas no México, maple no Canadá, frutos do mar no Peru, milho na Colômbia e chegando ao Brasil com muito brigadeiro. Atualmente estamos buscando um Fraud & Risk Analyst para a nossa área de **Fraud**, e algumas de suas funções são: **Funções**: - Deter e prevenir fraudes. - Realizar a gestão de risco e o desenvolvimento de processos e políticas anti-fraude; - Contatar a clientes específicos para solicitar informações que ajudem na decisão da aprovação da compra ou retenção dos mesmos; Utilizar informações disponibilizadas em ferramentas adicionais, que determinam a aprovação ou não da compra; - Entender padrões de comportamento que nos ajudem a melhorar a experiência do cliente; - Controlar os KPIs da área proativamente; - Interagir com outros departamentos internos para melhorar nossos processos Manter e desenvolver documentação para gestão dos fraudes conhecidos e as atividades relacionadas; - Ter disponibilidade em finais de semana e feriados. **Experiência / Habilidades**: - Experiência de 3 a 5 com anti-fraude Excel avançado (manipulação de bases de dados) - Desejável experiência em e-commerce Desejável conhecer plataformas de detecção de fraude como Sift Science e/ou Ravelin - Inglês intermediário a avançado - Conhecimento de SQL, Tableau, Metabase, Python é um diferencial - Conhecimento de sistemas de pagamento,Conhecimento em análise de documentos (ICs - Identity Checks) Disponibilidade para trabalhar em escala (finais de semana e feriados) - ESCALA DE QUARTA A DOMINGO DAS 10H ÁS 19H
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